PTNG Consulting

Articles

Machine Learning for Protein Engineering - here to stay

Machine Learning and Deep Learning have been buzzwords for quite some time now, but in the last few years, the impact on real-world applications has started to show. Here, Kieran Didi discusses how AI is revolutionising protein engineering.

Engineering T cell receptors for effective T cell activation and immunotherapy

Chris Szeto discusses different models of T cell activation and explains why there’s a lot more to it than binding affinity. In his work just published in Nature Communications, Chris reveals the world’s first disulfide-linked T cell receptor – peptide antigen model.

Engineering CRISPR-Cas9 toolkits for next-gen gene therapies

The market for gene therapy in the treatment space is booming. Gene therapy products are sitting at a critical juncture: from technological pipedream to the centrepiece of clinical treatment.

AlphaFold – changing the landscape of protein structure prediction

Structural biologists have an insatiable desire to discover the structure of proteins: for insight into how proteins work, and what that means for drug discovery.

COVID19 protein-protein wars: designing agents to block infection

The robustness, low cost and ease of production of monobodies and nanobodies make them attractive therapeutic candidates for COVID19. High stability solves the need for cold-chain storage, and offers other routes of administration such as aerosols, which could be attractive for respiratory diseases.

SARS-CoV-2: structures light the path to vaccines and treatment

To gain entry into human cells, the SARS-CoV-2 virus uses a “spike” on its surface, that recognizes receptors on human cells. One approach to making a vaccine is to immunise healthy patients with DNA or mRNA that codes for the spike protein.

It's a small world

Welcome to the PTNG Consulting blog. Here I will try to provide a commentary of some of the current news and events in science, medicine and biotech, in the context of structural biology and protein engineering.